From sleep to the microbiome: bringing new approaches and research tools to the study of dementia to discover new disease mechanisms and therapeutic targets.
UK DRI at Imperial College London has innovation as its theme. This draws on the university’s unique strengths and focus on science, engineering, medicine and business. Led by Professor Paul Matthews, the research team brings novel, cutting edge approaches and research tools to the study of dementia to discover new disease mechanisms and therapeutic targets. They will initially focus on the earliest pre-symptomatic stages of Alzheimer’s disease, addressing what determines the transition to neurodegeneration, but will investigate mechanisms that are likely shared across many of the dementias.
With access to large, well characterised longitudinal cohorts the team will explore causes of individual variation in dementia within populations, looking at changes that occur across the lifespan and specifically addressing metabolic factors, the relationship with microorganisms in gut (the microbiome) and the role of sleep. The team will use a range of resources including Dementias Platform UK and the MRC-NIHR National Phenome Centre.
UK DRI at Imperial College London will be located at the White City campus Hammersmith, London, in the Sir Michael Uren Biomedical Engineering Research Hub due to be completed in 2019, alongside Imperial’s translation and innovation ‘I-HUB’.
The UK DRI at Imperial is seeking an outstanding post-doctoral Research Associate interested in taking on a challenging role with considerable scope for independent scientific achievement and personal growth. The fellowship programme of Dr Nathan Skene is focused on identifying mechanisms through which complex genetic variation drives susceptibility for neurodegenerative diseases in specific cell types and at particular life stages. You will help define specific research programmes within this remit and undertake these in conjunction with colleagues in multi-disciplinary teams. Considerable independence is expected, with anticipation of a growing leadership role. You will be ambitious, with the passion to tackle big problems and a readiness to try out high-risk, high-payoff projects. Exceptional prior experience with genomics methods and a background in neurobiology will be assets. You will be responsible for data analysis and visualisation as well as development of new computational methods for processing and analysis of large-scale omics data. We set high standards for reproducibility of research and you will be expected to maintain your code on GitHub, develop containers and write workflows. Ref: MED01750, Closing date: 15 April (N.B. Deadline was extended from 2 April)Apply to centre